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Data Quality Experts in Dusseldorf

for reliable data with precise AI matching

Hire experts who profile, cleanse and validate complex data across CRM, ERP and analytics environments. FRATCH matches you quickly with vetted, available freelancers whose skills fit your requirements.

Meet FRATCH Experts in Dusseldorf, who have recently used Data Quality

Verified expert

Alexander F.

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My profile as CFO & Executive Finance and Controlling Manager

Willich
Alexander F.

Last position:

Freelance Business Consultant and Interim Manager at A. Folch von Sydow INTERIM MANAGEMENT

Advising various companies in the areas of controlling, finance and planning, transformation, business partnering, management reporting and AI-driven forecasting systems

Verified expert

Amit S.

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Senior IT Project Manager | IT Transformation | Program & Delivery Management

Düsseldorf
Amit S.

Last position:

IT Project Manager – SAP S/4 HANA Delivery Consultant at CHG Meridian UK Limited

  • Managed the integrated SAP S/4HANA delivery plan for 12 BTS workstreams, including milestone, dependency, and governance management.
  • Coordinated end-to-end delivery across Business, IT, and Operations, focusing on execution, readiness, and issue resolution.
  • Responsible for RAID, test, cutover, and deployment management to ensure a successful go-live.
  • Implemented KPI tracking, status reporting, and PMO governance to provide transparent management of performance, risks, and escalations.
Verified expert

Emre S.

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Freelance IT Project Manager and Technical Project Lead

Köln
Emre S.

Last position:

IT Project Manager | SAP E-Invoicing Outbound at Rohde & Schwarz

Project: Introduction of statutory-compliant electronic invoicing (outbound, Germany) in SAP for an international technology group.

  • Project management: Planning, steering and reporting of the E-Invoicing outbound rollout across all affected business areas, including budget and resource coordination.
  • UAT: Structured user acceptance test with key users per business area, test cases per invoice scenario, and consolidated test results for decision making.
  • Defect management: Handover and tracking of defects in Jira, including validation of the generated invoices against the statutory schemas.
  • Cutover, go-live and hypercare: Readiness checks and cutover planning aligned with the statutory deadlines, coordination of go-live and stabilization during hypercare.
  • Stakeholder management and reporting: Alignment with Finance, Tax, business departments and IT, preparation of status reports and decision papers, and consistent follow-up of open items.
  • Change management and documentation: Communicated process changes to the business departments, enabled key users, and created process and compliance documentation to ensure traceability and audit readiness.
Verified expert

Sergei M.

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Program Manager / Program Lead (Contractor)

Kaarst
Sergei M.

Last position:

Interim Program Manager at parcIT

Time-limited interim assignment filling a vacant program leadership position: joint leadership of a complex software project and orchestration of several agile teams (business, development, and DevOps teams), as well as actively driving change processes.

  • Program Management & Planning: Responsibility for creating and updating milestone, resource, and budget plans to ensure project objectives using agile and hybrid methods.
  • Cross-functional Collaboration: Promoting cooperation and knowledge sharing across teams; resolving blockers through proactive conflict management and targeted facilitation.
  • Stakeholder Management & Transparency: Ensuring transparent and audience-appropriate communication within and outside the project organization using modern project management tools.
Verified expert

Songül D.

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Senior SAP Data & Analytics Consultant & Project Manager (BI / BW/4HANA) | Planning (BPC, BI-IP)

Düsseldorf
Songül D.

Last position:

Freelance SAP BW Consultant at DKV Mobility Services

  • Designed and implemented enhancements in SAP BW on HANA 7.5 in the context of CRM migration and S/4HANA and BW/4HANA transformation programs
  • Migrated SAPI data sources to the ODP framework as part of the S/4HANA migration
  • Delivered SAP ECC data to Snowflake using BW data models and Calculation Views for Power BI analytics
  • Integrated SAP and non-SAP data sources (including MS Dynamics)
  • Improved reporting transparency through consolidated data models
  • Optimized data loading processes for FI-CO data sources, significantly improving load times and system performance
Verified expert

Ehsan M.

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Data Engineer

Düsseldorf
Ehsan M.

Last position:

BI Developer at Telecommunications Infrastructure

  • Gathered and analyzed requirements in close collaboration with business departments to develop data-driven solutions and scalable PowerBI reporting infrastructures.
  • Conducted detailed error analyses and optimized existing semantic and data models to ensure a robust data architecture and high data quality and to improve PowerBI reporting.
  • Developed and implemented scalable ETL processes for data preparation and integration.
  • Built a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and key performance indicators.
Verified expert

Abdulrahman S.

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AI Business Intelligence Analyst | AI Project Manager

Duisburg
Abdulrahman S.

Last position:

Senior Business Intelligence Analyst at ELEMENT Insurance AG

  • AI-Enabled Analytics & Reporting: Lead a 2-person BI team, applying predictive analytics and automation to translate complex business requirements into forward-looking insights, recommendations, and financial reports.
  • Advanced Data Visualization: Design and maintain 25+ high-impact Power BI/Tableau dashboards tracking company-wide KPIs and trends, structured to support predictive and automated reporting.
  • Web Analytics & Insights: Own GA4 tracking and analysis, driving a 15% increase in conversion insight through deeper customer journey analysis.
  • Data Pipeline Optimization: Partner with data engineers to redesign and automate data pipeline workflows, cutting manual reporting time by 20% while safeguarding data accuracy and system uptime.
Verified expert

Ludo P.

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Principal Data Integration Architect

Grevenbroich
Ludo P.

Last position:

Senior Consultant at Insurance

  • DWH modernization
  • Migration from Informatica PowerCenter to IDMC/CDI
  • Migration from IBM DB2 to Databricks

Technologies: Informatica IDMC, Databricks

Verified expert

Orhan Y.

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SAP Senior Consultant OTC/MM/WM/LE/CS/PS/GTS, C4C-Cloud (Sales, Services, E-Commerce)

Düsseldorf
Orhan Y.

Last position:

SAP Senior Consultant OTC/MM/WM/LE/CS/PS/GTS, C4C-Cloud (Sales, Services, E-Commerce) at High-Technologie

  • Support and consulting for the integration of SAP ECC into an SAP S/4HANA system, retirement of legacy systems, implementation, and process optimization in the new harmonized system
  • Project implementation of S/4HANA Cloud Private & Public Sales & Services with SAP SCM/OTC/MM/LE/CS/PS, S/4HANA Cloud, CPI, BTP, EDI, IDOC, ABAP, User-Exit, SolMan, ITIL, SAP Cloud AL
  • Customizing and optimization in OTC and MM, including condition maintenance, document type and item category extensions, integration with FI/CO, scheduling agreement configuration, material master and purchasing info record maintenance, release procedures, message control, and master data quality
  • Ensuring integration of PTP with FI/CO, SD, and WM, process analysis, and efficiency improvement for the S/4HANA environment
  • Process modeling in Signavio, workshops, and trainings
  • 2nd & 3rd level support in OTC, MM, CS, PS, C4C Sales & Services, GTS, and MDG: incident and change tickets, feasibility analyses, service management, embedded analytics, customizing, tests, documentation, training, debugging, IDOC/EDI monitoring
  • SAP S/4HANA migration: data migration, system harmonization, global rollouts, and template development
  • ABAP development and optimization: reports, dialog programs, user exits, IDOC/EDI monitoring
Verified expert

Arndt M.

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Project Manager for ServiceNow Vulnerability Response

Mülheim an der Ruhr
Arndt M.

Last position:

Project Manager for ServiceNow Vulnerability Response at Union Investment Services & IT GmbH

  • Led the subproject for implementing Vulnerability Response as part of DORA
  • Documented the current processes in compliance, risk & security
  • Created the functional design for introducing application, infrastructure, and cloud vulnerabilities
  • Agile management of the integration service provider, the technical department, and the company's cross-functional teams
  • Integrated the V scanners Tenable, Qualys and Defender, as well as NVD and CISA/KEV
  • Integrated GitLab Ultimate for importing and processing SBOMs
  • Developed automation rules to match scan results with CIs in the CMDB, assign vulnerabilities and remediation tasks, handle approvals (false positives, exceptions) and closures
  • Calculated multiple risk scores and priorities
  • Defined dashboards and reports (Workspaces, Performance Analytics)
  • Aligned the new processes, especially to improve the CMDB data quality (according to CSDM)
Verified expert

Wolfgang S.

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CIO / CDO / Project Manager AI Academy / Auditor of Operational Processes / Product Owner MS365

Düsseldorf
Wolfgang S.

Last position:

CIO / CDO / Project Manager AI Academy / Auditor of Operational Processes / Product Owner MS365 at F&P Executive Solutions AG

  • Digitalization of accounting, signature/approval, and onboarding processes
  • Restructuring of the IT department
  • Introduction of a digital sales tool
  • Implementation of an AI webinar series
  • Introduction and optimization of information security
  • Administration and optimization of the MS Office 365 environment
Verified expert

Matthias M.

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Project Manager

Düsseldorf
Matthias M.

Last position:

Project Manager at HSBC

  • Project Manager for banking projects
  • Management and coordination of the projects 'XONTRO T7 Migration' and 'UNO – Unified for New Opportunities'. Management of international stakeholders, preparation and leadership of steering committees, and coordination between departments, exchanges, and external partners.
  • Project management of the strategic projects 'XONTRO T7 Migration' and 'UNO – Unified for New Opportunities'
  • Management of international stakeholders including exchanges, custodians, and external project partners
  • Coordination of functional and technical test activities at the exchanges between trading, IT, accounting, and mid-/back office
  • Facilitation of steering committees at management level
  • Preparation of decision papers, status reports, and risk analyses
  • Conduct analyses in the areas of reporting (compliance, regulatory reporting, etc.), taxes on securities transactions & custody accounts, process analysis
  • Enforcement of required requirements/specifications
  • Coordination between business, IT, operations, and external market participants
  • Coordination and alignment with external market participants, service providers, exchanges, and other project stakeholders
Verified expert

Akash B.

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SAP BW/4HANA & SAC Lead

Düsseldorf
Akash B.

Last position:

SAP BW/4HANA & SAC Lead at Nagarro

  • Led the design, implementation, and optimisation of SAP Analytics Cloud (SAC) dashboards, stories, and reports for business users.
  • Worked closely with business stakeholders to gather and analyse reporting requirements, translating them into technical designs.
  • Integrated SAC with SAP BW/4HANA, SAP S/4HANA, SAP HANA Views, and external data sources.
  • Developed SAC Planning models and supported planning processes, including input forms, allocations, forecasts, and simulations.
  • Configured live and import connections to SAP and non-SAP data sources.
  • Conducted performance tuning, security setup, and ensured data accuracy in SAC environments.
  • Provided training, documentation, and best practices for SAC adoption across the organization.
  • Led incident management, change requests, and enhancements in SAC landscapes.
Verified expert

Dennis S.

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Third Party Risk Management

Düsseldorf
Dennis S.

Last position:

Third Party Risk Management at Ergo Group

  • Processing entries in the Third Party Risk Management (TPRM) process
  • Conducting clean-ups of existing business relationships
  • Creating, processing, and documenting requests
  • Reviewing entries from process participants based on existing files
  • Collaborating with risk SMEs (Subject Matter Experts) and vendor contacts
  • Working closely with procurement, information security, and data protection to align business requirements
  • Implementing regulatory requirements (VAIT, DORA) and ensuring compliance and risk management

Discover over 15,000 top freelancers

Statistics of experts using Data Quality

Aggregated from the professional profiles of matched freelancers.

Experience

20 years (Germany: 16 years)

Data Quality experts in Dusseldorf have 20 years of professional experience on average. It is 4 years more than in Germany, where the average stands at 16 years.

Position duration

1.9 years (Germany: 3 years)

Data Quality experts in Dusseldorf stay in a single position for 1.9 years on average. It is 1.1 years less than in Germany, where the average stands at 3 years.

Positions per freelancer

11 (Germany: 10)

Data Quality experts in Dusseldorf have completed 11 positions on average over the course of their careers. It is 1 more than in Germany, where the average stands at 10.

Top business areas

Information Technology, Project Management, Business Intelligence

Data Quality experts in Dusseldorf have gathered most of their hands-on project experience in Information Technology, Project Management, and Business Intelligence.

Top industries

Information Technology, Professional Services, Banking and Finance

Data Quality experts in Dusseldorf are most in demand in Information Technology, Professional Services, and Banking and Finance.

Certification focus areas

Information Technology, Project Management, Product Development

Data Quality experts in Dusseldorf earn their certifications most often in Information Technology, Project Management, and Product Development.

Bachelor's degree or higher

83% (Germany: 94%)

83% of Data Quality experts in Dusseldorf hold at least a Bachelor's degree. It is 11% lower than in Germany, where the rate stands at 94%.

Master's degree or higher

67%

67% of Data Quality experts in Dusseldorf hold at least a Master's degree.

Doctorate

6% (Germany: 10%)

6% of Data Quality experts in Dusseldorf have a doctorate (PhD). It is 4% lower than in Germany, where the rate stands at 10%.

Certifications per freelancer

4 (Germany: 3)

Data Quality experts in Dusseldorf hold 4 professional certifications on average. It is 1 more than in Germany, where the average stands at 3.

Most common languages

German, English, Spanish

Data Quality experts in Dusseldorf most often speak German, English, and Spanish.

Speak two or more languages

100% (Germany: 98%)

100% of Data Quality experts in Dusseldorf speak two or more languages. It is 2% higher than in Germany, where the rate stands at 98%.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
5% of Data Quality experts in Dusseldorf charge less than €640 per day.
10% of Data Quality experts in Dusseldorf charge between €640 and €800 per day.
60% of Data Quality experts in Dusseldorf charge between €800 and €960 per day.
10% of Data Quality experts in Dusseldorf charge between €960 and €1120 per day.
15% of Data Quality experts in Dusseldorf charge €1120 or more per day.
<€640 €640-​800 €800-​960 €960-​1120 €1120+

The chart shows how the daily rates of experts in this technology in Dusseldorf are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.

Average rates of experts in Dusseldorf using Data Quality

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 887 €
Germany avg. 785 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 880 €
Germany median 800 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Data Quality experts industry focus

See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.

  • Information Technology (71%)
  • Professional Services (71%)
  • Banking and Finance (57%)
  • Retail (48%)
  • Manufacturing (38%)
  • Telecommunication (33%)
  • Healthcare (29%)
  • Insurance (29%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Data Quality covers

Data Quality is the discipline of making data accurate, complete, consistent, timely and fit for its intended use. Specialists examine data across operational systems, warehouses and reporting layers, then define rules and processes that keep defects from spreading. The work supports trusted decisions, compliant operations and dependable customer journeys.

Typical deliverables

  • Data profiling and baseline assessments
  • Validation rules for critical fields and records
  • Deduplication, standardisation and enrichment workflows
  • Data quality dashboards, scorecards and issue queues
  • Operating models for ownership, remediation and monitoring

Projects may focus on customer, product, supplier, finance or reference data. Strong deliverables connect technical checks with clear business definitions, owners and remediation paths.

Ecosystem and tooling

Data Quality work often spans SQL databases, APIs, CRM and ERP systems, cloud warehouses and BI tools. Professionals may use Great Expectations, Soda, dbt tests, Informatica, Talend, Ataccama or Microsoft Purview, depending on the existing estate. They also work with Python, SQL, orchestration tools and metadata catalogues to automate controls and trace issues to their source.

When companies need specialists

  • Reports disagree across departments or systems
  • Customer and supplier records contain duplicates
  • A migration exposes missing, invalid or mismatched values
  • Analytics teams spend too much time correcting source data
  • Data products need measurable quality gates before release

Freelance expertise is useful when an assessment must move quickly, internal ownership is unclear or a programme needs specialist knowledge of a particular stack. In Dusseldorf, collaboration may combine remote delivery with workshops for local business and IT teams.

Skills that distinguish experts

The strongest professionals combine data analysis with process design and communication. They can translate business terms into measurable rules, investigate root causes with SQL or Python, and explain trade-offs to data owners. They understand lineage, metadata, master data management, governance and change control rather than treating quality as a one-off cleansing exercise.

How quality becomes sustainable

A reliable approach starts with agreed definitions and prioritised critical data elements. Specialists establish ownership, monitor rules in production and route exceptions to the right teams. They also document decisions, test changes and make quality visible through useful alerts and dashboards. For international teams, clear English is often essential; German can help when workshops involve local stakeholders and processes.

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Frequently asked questions

Before you brief your next project: the most common questions about Data Quality.

Data Quality is used to make information accurate, complete, consistent, timely and suitable for a defined business purpose. Companies apply it to customer records, product data, finance information, supplier files and analytics pipelines. The goal is trusted reporting and reliable processes, not simply cleaner tables.

Data Quality measures and improves the condition of data, while data cleansing is the practical correction of errors such as duplicates or invalid values. Data governance defines ownership, policies and decision rights around that data. A mature programme connects all three so problems are prevented as well as repaired.

A strong Data Quality specialist often works with SQL, Python, data profiling, metadata, lineage and master data management. Experience with cloud warehouses, APIs, ETL or ELT pipelines, BI tools and automated testing is also valuable. Communication skills matter because rules must be agreed with business owners.

The right Data Quality experience depends on scope, system complexity and the importance of the affected data. A focused profiling or rule-design assignment may need a specialist who can work independently with a limited context, while a cross-system programme requires experience with governance, migrations and stakeholder alignment. Ask for examples of comparable data domains and measurable deliverables.

Data Quality work is often suitable for remote collaboration because profiling, rule design and documentation can be performed securely online. On-site workshops in Dusseldorf can still help when teams need to agree definitions, ownership or remediation processes. Clarify access controls, language expectations and meeting arrangements before the engagement starts.

For Data Quality, review whether the specialist explains the business impact of defects, not just the technical symptoms. Ask to see how they define rules, prioritise critical fields, document exceptions and verify improvements. A sound approach includes ownership, monitoring and repeatable controls after the initial clean-up.

Data Quality projects may use Great Expectations, Soda, dbt tests, Informatica, Talend, Ataccama or Microsoft Purview. The best choice depends on the data estate, deployment model, governance needs and existing skills. A capable specialist should be able to work with the current stack and explain when a new tool is justified.

Before engaging a Data Quality specialist, define the priority data domains, source systems, access requirements and expected outcomes. Teams in Dusseldorf should also decide whether workshops require German, English or both, and whether the work includes on-site collaboration. Clear ownership for fixing defects is as important as the technical scope.

The average hourly rate of freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects is 111 €, which corresponds to a daily rate of about 887 € based on an 8-hour working day.

Of the freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects, 83% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 6% hold a doctorate.

On average, freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.9 years.

The most common languages among freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects are German (95%), English (95%), and Spanish (14%).

The most common industries among freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects are Information Technology (71%), Professional Services (71%), and Banking and Finance (57%).

The most common business areas among freelancers in Dusseldorf, Germany who have used Data Quality in their recent projects are Information Technology (95%), Project Management (76%), and Business Intelligence (67%).

Main locations of FRATCH Experts, who have recently used Data Quality

Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.

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